Assessment of the Quality of Brick Products by the Method of Machine Vision

Abstract

At present, no one doubts that machine vision significantly increases the efficiency, quality and reliability of solving numerous problems, including the detection of various product defects. Machine vision acts as a replacement for the complex and time-consuming work of specialists who search for defects using visual inspection. However, for the application of machine vision methods, several conditions must be met, which are associated with lighting and a suitable photographic apparatus, in order to obtain high-quality images, as well as the method of their processing. Image processing and analysis are important elements of a quality control system and obtaining information about defects. This study provides a problem statement for assessing the quality of the surface of bricks and describes the proposed approach to image processing and analysis. The results of processing real images obtained at a brick factory are presented.